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FOXIFY Agent Commerce

Verify Agent Action Intent

verify_agent_action_intent

Paid exact-action authority preflight for consequential agent tool calls. Binds subject, tool, operation, target, canonical parameters, authority lifetime, retries and postcondition requirements. Costs $0.25 USDC on Base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nonceYesUnique anti-replay nonce
actionYes
subjectYes
action_idYesUnique action-intent identifier
authorityYes
executionNo
expires_atYesISO-8601 action-intent expiry
postconditionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden, and it does disclose a key behavioral trait: the operation is paid ('Costs $0.25 USDC on Base') and is a preflight verification rather than an execution. But it omits other critical behavior such as what happens on success/failure, whether the fee is charged on rejection, whether any state is mutated, or if there are retry/idempotency side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no filler. The first sentence front-loads the essential purpose and paid nature, the second efficiently lists what the verification binds, and the final cost detail is minimal and relevant. Every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a complex nested 8-parameter tool with no annotations and no output schema, yet the description stays at a high level. It does not explain the return value, failure modes, error semantics, when to prefer this over the sibling tools, or how the authority/payment verification integrates with the calling flow. The description is too thin for the operational complexity involved.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 38%, so the description must compensate. It partially does by enumerating semantic groups: 'subject, tool, operation, target, canonical parameters, authority lifetime, retries and postcondition requirements,' which maps conceptually to schema fields. However, it adds no format, relationship, or default details beyond what the schema already provides, leaving several parameters under-explained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb-resource pairing: 'exact-action authority preflight for consequential agent tool calls.' It names the core resource ('agent action intent') and adds distinct scope ('exact-action authority preflight'), which differentiates it from siblings like verify_agent_payment_intent and foxify_preflight_info even without naming them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'preflight for consequential agent tool calls' implies the tool should be used before high-stakes agent actions, giving some usage context. However, there are no explicit when-to-use versus when-not-to-use instructions, no mention of alternative tools, and no conditions that would rule out using it for non-consequential calls.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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